SOTAOG
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SOTAOG Company Information
SOTAOG is a SaaS company that empowers Chief Operating Officers (COOs) to increase cash flow by over 20% through actionable insights derived from advanced analytics. Utilizing AI and machine learning, SOTAOG’s platform forecasts interdependencies and predicts inefficiencies, yielding returns as high as 30-50 times the investment within a few months of implementation. The company operates on affordable monthly subscriptions without charging billable hours and offers a $0 pilot program for qualified businesses. SOTAOG employs Industrial Internet of Things (IIoT) to extract data from asset sensors, using AI and ML algorithms to generate cash flow for businesses in heavy industries such as Energy, Manufacturing, Food and Beverage, Oil & Gas, Chemical, and Mining. Their Sota X product is designed with complex machine learning algorithms to help these industries predict and forecast cash flow, while the Sota 360 product aids in data acquisition and provides 3D intuitive visuals. The software also enables real-time monitoring and control of emissions, offering autonomous ESG reporting that saves hundreds of hours in manual compliance reporting. SOTAOG’s solutions can be fully operationalized in 2-4 weeks without requiring on-site hardware installation, and their SCADA system allows clients to control operations in real-time from anywhere in the world. The web-based platform requires no installation and includes built-in cybersecurity, unlimited data points, and unlimited users in its pricing plans. SOTAOG’s solutions can deliver a 10X ROI within 30 days. Recognized as one of the top 101 cloud-computing-based startups in Texas, USA, SOTAOG received $100,000 in funding from Google’s Startups Black Founders Fund and signed a multi-year contract with a major international client to provide AI-powered solutions in the heavy industrial space. The company won third place at the mHub Industrial Startup Pitch Competition in 2020. SOTAOG’s platform helps companies analyze real-time production data to maximize operating cash flow and can analyze over 240 million real-time data points to ensure accurate payments for oil producers.